NMBU will host the course “Deep Learning for Forest Remote Sensing Applications with Examples in Python” as a part of the NOVA university network from May 22 – 26, 2023.

The lectures throughout the course will be held by Stefano Puliti, Maciej Wielgosz, Rasmus Astrup from NIBIO. Course responsible is Hans Ole Ørka from NMBU.

The course aims to provide a practical and theoretical introduction to using deep learning to solve common forest remote sensing tasks, from classification to regression. Following an initial theoretical introduction, the course will focus on the implementation and practical use of deep learning, concentrating on two common data types in forest remote sensing: images and point clouds. During the course, the students will learn how to manage, annotate and prepare data, train models, log results and interpret them, validate the models, and finally how to, deploy a model for operational use.

Find more information on the course here. 
You can register here by April 25th.